proc015/sentiment-model

Sentiment Analysis Model

This model is a fine-tuned version of distilbert-base-uncased on the IMDb dataset for sentiment analysis.

Model Details

• —Base model: distilbert-base-uncased
• —Fine-tuning dataset: IMDb
• —Task: Sentiment analysis (text classification)

Intended Use

The model is designed to classify text into positive or negative sentiment. You can use it for tasks such as:

• —Analyzing product reviews.
• —Social media sentiment analysis.
• —General text classification tasks involving sentiment.

Limitations

• —The model is fine-tuned on the IMDb dataset and may not generalize well to all domains or datasets.
• —It may inherit biases from the IMDb dataset.

Example Usage

from transformers import pipeline

# Load the model
model_pipeline = pipeline("text-classification", model="proc015/sentiment-model")

# Run sentiment analysis
result = model_pipeline("I love this product!")
print(result)